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Leveraging artificial intelligence and Big Data to unlock the potential in bespoke SME lending
Journal of Digital Banking,
4
(2),
111-118
(2019)
Abstract
Artificial intelligence (AI), machine learning (ML) and large-scale data analysis (also sometimes known as ‘Big Data’) are a set of technologies and techniques that are having an ever-increasing impact. In this paper, we examine the specific use case of providing credit to small and medium-sized enterprises (SMEs). This paper provides some background into the underlying business problem and the techniques themselves and gives examples of how AI and ML can be applied to this area and the benefits that can arise when this is done.
Keywords: SME; lending; credit; artificial intelligence; AI; machine learning; data; analytics
The full article is available to subscribers to the journal.
Author's Biography
Sean Hunter is Chief Information Officer at OakNorth, a multi-billion dollar FinTech firm focused on solving the problem of bespoke SME lending globally using data and technology. Prior to joining OakNorth, Sean was one of the first commercial engineers at Palantir Technologies in Europe where he led trader oversight partnerships with large financial institutions, particularly Credit Suisse, which led to being co-head of the JV called Signac. Before Palantir, Sean was a strategist at Goldman Sachs for eight years, working in a number of areas including equities, fixed income and algorithmic trading.
